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2009

Demonstrating Automatic Content Generation in the Galactic Arms Race Video Game

10 years 25 days ago
Demonstrating Automatic Content Generation in the Galactic Arms Race Video Game
In most modern video games, content (e.g. models, levels, weapons, etc.) shipped with the game is static and unchanging, or at best, randomized within a narrow set of parameters. However, if game content could be constantly renewed, players would remain engaged longer. To realize this ambition, the content-generating NeuroEvolution of Augmenting Topologies (cgNEAT) algorithm automatically evolves novel game content based on player preferences, as the game is played. To demonstrate this approach, the Galactic Arms Race (GAR) video game, which incorporates cgNEAT, will be presented. In GAR, players pilot space ships and fight enemies to acquire novel particle system weapons that are evolved by the game. The live demo will show how GAR players can discover a wide variety of weapons that are not only novel, but also based on and extended from previous content that they preferred in the past. The implication of cgNEAT is that it is now possible to create games that generate their own conte...
Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanle
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2009
Where AIIDE
Authors Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley
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